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집중 치료실에 입실한 비대상성 간경변 환자의 예후 인자 분석

The Analysis of Prognostic Factors in Patients with Decompensated Liver Cirrhosis Admitted to the Medical Intensive Care Unit

김나혜|이정남|이원석|김건국|박연정|유병철|최상태|이운기|이길재|백정흠
대한중환자의학회 (The Korean Society Of Critical Care Medicine)|2013.05|Acute and Critical Care|제28권 제2호|pp. 101-107

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참고문헌

키워드

liver cirrhosismodel for end-stage liver disease (MELD)Sequential Organ Failure Assessment (SOFA).

초록

Background: Patients with decompensated liver cirrhosis usually resulted in admission to the intensive care unit (ICU) during hospitalization. When admitted to the ICU, the mortality was high. The aim of this study is to identify multiple prognostic factors for mortality and to analyze the significance of prognostic survival model with each scoring system in patients with decompensated liver cirrhosis who was admitted to the ICU. Methods: From January 2008 to December 2008, 60 consecutive patients with decompensated liver cirrhosis were admitted in the ICU and retrospectively reviewed. Prognostic models used were Child-Turcotte-Pugh (CTP), model for end-stage liver disease (MELD), model for end-stage liver disease with incorporation of serum sodium (MELD-Na), acute physiology and chronic health evaluation (APACHE) II, and sequential organ failure assessment (SOFA). The predictive prognosis was analyzed using the area under the receiver’s operating characteristics curve (AUC). Results: The median follow up period was 20 months, and ICU mortality was 17% (n = 10). A total of 24 patients (40%) died during the study period. The average survival of five prognostic models was related with the severity of the disease. All of the five systems showed significant differences in the cumulative survival rate, according to the scores on admission, and the MELD-Na had the highest AUC (0.924). Multivariate analysis showed that bilirubin and albumin were significantly related to mortality. Conclusions: The CPT, MELD, MELD-Na, APACHE II, and SOFA may predict the prognosis of patients with decompensated liver cirrhosis. The MELD-Na could be a better prognostic predictor than other scoring systems.

Abstract

Background: Patients with decompensated liver cirrhosis usually resulted in admission to the intensive care unit (ICU) during hospitalization. When admitted to the ICU, the mortality was high. The aim of this study is to identify multiple prognostic factors for mortality and to analyze the significance of prognostic survival model with each scoring system in patients with decompensated liver cirrhosis who was admitted to the ICU. Methods: From January 2008 to December 2008, 60 consecutive patients with decompensated liver cirrhosis were admitted in the ICU and retrospectively reviewed. Prognostic models used were Child-Turcotte-Pugh (CTP), model for end-stage liver disease (MELD), model for end-stage liver disease with incorporation of serum sodium (MELD-Na), acute physiology and chronic health evaluation (APACHE) II, and sequential organ failure assessment (SOFA). The predictive prognosis was analyzed using the area under the receiver’s operating characteristics curve (AUC). Results: The median follow up period was 20 months, and ICU mortality was 17% (n = 10). A total of 24 patients (40%) died during the study period. The average survival of five prognostic models was related with the severity of the disease. All of the five systems showed significant differences in the cumulative survival rate, according to the scores on admission, and the MELD-Na had the highest AUC (0.924). Multivariate analysis showed that bilirubin and albumin were significantly related to mortality. Conclusions: The CPT, MELD, MELD-Na, APACHE II, and SOFA may predict the prognosis of patients with decompensated liver cirrhosis. The MELD-Na could be a better prognostic predictor than other scoring systems.

참고문헌 (20)

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  18. Wehler M, "Short-term prognosis in critically ill patients with cirrhosis assessed by prognostic scoring systems", Hepatology, 34, pp.255~261 (2001)
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  20. Ferreira FL, "Serial evaluation of the SOFA score to predict outcome in critically ill patients", JAMA, 286, pp.1754~1758 (2001)

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